抑郁症的行为激活疗法的组成部分参与特定的强化学习机制的试点研究

Computational psychiatry (Cambridge, Mass.) Pub Date : 2022-10-13 eCollection Date: 2022-01-01 DOI:10.5334/cpsy.81
Quentin J M Huys, Evan M Russek, George Abitante, Thorsten Kahnt, Jacqueline K Gollan
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引用次数: 0

摘要

背景:行为激活是一种基于证据的抑郁症治疗方法。从理论上考虑,治疗反应取决于强化学习机制。然而,哪些强化学习机制参与并介导行为激活的治疗效果仍然只是部分了解,并且没有测量这些机制的程序。目的:进行一项初步研究,以检验通过任务或自我报告测量的强化学习过程是否与行为激活的治疗反应有关。方法:该试点研究从2018年7月至2019年2月招募了13名患有重度抑郁症的门诊患者(12名完成者),进行了为期9周的BA试验。在治疗前、治疗期间和治疗后获得了精神病学评估、决策测试和自我报告的奖励体验和预期。使用强化学习模型分析任务和自我报告数据。通过线性混合效应模型,推断的参数与抑郁严重程度的测量相关。结果:不同阶段的治疗效果
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Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot Study.

Background: Behavioral activation is an evidence-based treatment for depression. Theoretical considerations suggest that treatment response depends on reinforcement learning mechanisms. However, which reinforcement learning mechanisms are engaged by and mediate the therapeutic effect of behavioral activation remains only partially understood, and there are no procedures to measure such mechanisms.

Objective: To perform a pilot study to examine whether reinforcement learning processes measured through tasks or self-report are related to treatment response to behavioral activation.

Method: The pilot study enrolled 13 outpatients (12 completers) with major depressive disorder, from July of 2018 through February of 2019, into a nine-week trial with BA. Psychiatric evaluations, decision-making tests and self-reported reward experience and anticipations were acquired before, during and after the treatment. Task and self-report data were analysed by using reinforcement-learning models. Inferred parameters were related to measures of depression severity through linear mixed effects models.

Results: Treatment effects during different phases of the therapy were captured by specific decision-making processes in the task. During the weeks focusing on the active pursuit of reward, treatment effects were more pronounced amongst those individuals who showed an increase in Pavlovian appetitive influence. During the weeks focusing on the avoidance of punishments, treatment responses were more pronounced in those individuals who showed an increase in Pavlovian avoidance. Self-reported anticipation of reinforcement changed according to formal RL rules. Individual differences in the extent to which learning followed RL rules related to changes in anhedonia.

Conclusions: In this pilot study both task- and self-report-derived measures of reinforcement learning captured individual differences in treatment response to behavioral activation. Appetitive and aversive Pavlovian reflexive processes appeared to be modulated by separate psychotherapeutic interventions, and the modulation strength covaried with response to specific interventions. Self-reported changes in reinforcement expectations are also related to treatment response.

Trial registry name: Set Your Goal: Engaging in GO/No-Go Active Learning, #NCT03538535, http://www.clinicaltrials.gov.

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CiteScore
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17 weeks
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